CN110361037A - Based on dim light grid array distributed sensing pretreatment system and Peak Search Method - Google Patents
Based on dim light grid array distributed sensing pretreatment system and Peak Search Method Download PDFInfo
- Publication number
- CN110361037A CN110361037A CN201910585836.5A CN201910585836A CN110361037A CN 110361037 A CN110361037 A CN 110361037A CN 201910585836 A CN201910585836 A CN 201910585836A CN 110361037 A CN110361037 A CN 110361037A
- Authority
- CN
- China
- Prior art keywords
- peak
- signal
- high speed
- grid array
- dim light
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims description 12
- 239000013307 optical fiber Substances 0.000 claims abstract description 24
- 239000000835 fiber Substances 0.000 claims abstract description 18
- 238000012937 correction Methods 0.000 claims description 11
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 description 15
- 230000003287 optical effect Effects 0.000 description 12
- 238000012545 processing Methods 0.000 description 7
- 230000008859 change Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 101100113692 Caenorhabditis elegans clk-2 gene Proteins 0.000 description 3
- 101100003180 Colletotrichum lindemuthianum ATG1 gene Proteins 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000005622 photoelectricity Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 102100028778 Endonuclease 8-like 1 Human genes 0.000 description 1
- 102100024513 F-box only protein 6 Human genes 0.000 description 1
- 101001123824 Homo sapiens Endonuclease 8-like 1 Proteins 0.000 description 1
- 101001052796 Homo sapiens F-box only protein 6 Proteins 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000012681 fiber drawing Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000000985 reflectance spectrum Methods 0.000 description 1
- 238000002310 reflectometry Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000000452 restraining effect Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000019491 signal transduction Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 239000013598 vector Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D5/00—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable
- G01D5/26—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light
- G01D5/32—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light
- G01D5/34—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells
- G01D5/36—Forming the light into pulses
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Optical Communication System (AREA)
Abstract
The invention discloses one kind to be based on dim light grid array distributed sensing pretreatment system, it include: front end circuit, including sequentially connected laser, erbium-doped fiber amplifier, coupler, the optical fiber of dim light grid array is carved in the first annular device connection, and second circulator connects blank optical fiber；Lower computer FPGA high speed acquisition device is connect by pulse-modulator with the laser, and is connected by the first photodetector with the first annular device, is connected by the second photodetector with second circulator；The FPGA high speed acquisition device includes sef-adapting filter, which offsets according to the optical fiber from dim light grid array with reflected signal in blank optical fiber, eliminates noise；Host computer is communicated to connect with the FPGA high speed acquisition device, is sent control instruction and is given lower computer FPGA high speed acquisition device；And peak-seeking is carried out to the signal that lower computer FPGA high speed acquisition device uploads, store all peak value and respective coordinates.
Description
Technical field
The present invention designs fiber grating sensing technology field more particularly to a kind of pretreatment system based on dim light grid array
And Peak Search Method.
Background technique
Its high sensitivity of fiber grating sensing technology is both advantage and disadvantage, its shadow vulnerable to various interference informations
It rings, such as the various noise jammings in the multistage crosstalk and optical path in grating array.It interferes, is needed under in order to reduce or avoid
Position machine is filtered pretreatment, can be by corresponding tap coefficient models of filters such as modification high pass, low passes, to be directed to
The filtering of property.But the scope of application that the problem of bringing in this way is system substantially reduces, it is so-called in some cases " noise "
It may be the purpose signal under other occasion, and program of lower computer usually compares and is difficult to directly change, therefore
There are limitations for this pretreatment mode.
It, can be by drawing tensile force, drawing speed, the Random Effects such as fiber drawing furnace temperature fluctuation, dim light when online dim light grid preparation
The spectrum shape of grid reflectance spectrum, central wavelength, reflectivity etc. also have certain fluctuation range.Also, due to random in drawing process
Property, not stringent equidistant between grating, peak point coordinate can not be determined accurately, lead to demodulation distortion.The peak-seeking of mainstream at present
Algorithm is Gauss curve fitting method and relevant innovatory algorithm, and it is a large amount of that this mode can consume slave computer while peak-seeking significant effect
Calculation resources, reduce the real-time of system.
Summary of the invention
The technical problem to be solved in the present invention is that in the prior art can not effectively in real time to dim light grid array into
The defect of row peak-seeking, provide it is a kind of can quickly peak-seeking based on dim light grid array distributed sensing pretreatment system and peak-seeking side
Method.
The technical solution adopted by the present invention to solve the technical problems is:
The present invention provides be based on dim light grid array distributed sensing pretreatment system, comprising:
Two of front end circuit, including sequentially connected laser, erbium-doped fiber amplifier, coupler, the coupler are defeated
Outlet is separately connected first annular device and the second circulator, and the optical fiber of dim light grid array, institute are carved in the first annular device connection
State the second circulator connection blank optical fiber；
Lower computer FPGA high speed acquisition device is connect by pulse-modulator with the laser, and is visited by the first photoelectricity
It surveys device to connect with the first annular device, be connected by the second photodetector with second circulator；The lower computer FPGA
High speed acquisition device includes sef-adapting filter, and the sef-adapting filter is according to anti-in the optical fiber and blank optical fiber from dim light grid array
It is emitted back towards the signal come to offset, eliminates noise；
Host computer is communicated to connect with lower computer FPGA high speed acquisition device, is sent control instruction and is adopted to lower computer FPGA high speed
Storage；And peak-seeking is carried out to the signal that lower computer FPGA high speed acquisition device uploads, store all peak value and respective coordinates.
Above-mentioned technical proposal is connect, the sef-adapting filter is LMS sef-adapting filter.
Above-mentioned technical proposal is connect, the sef-adapting filter includes:
Input signal register, for transmitting and storing the crosstalk signal of blank optical fiber；
Tap intersection register, for transmitting and storing the tap intersection of each coefficient of filter；
Data selector, signal and filter coefficient for selecting corresponding lower computer FPGA high speed acquisition device acquisition enter
Multiplier；
Multiplication module, for carrying out the signal of corresponding lower computer FPGA high speed acquisition device acquisition and multiplying for filter coefficient
Product operation, and the value of product is transmitted to accumulator module；
Accumulator module, the value for exporting multiplication module every time are saved and are added up, then with grating fibers signal phase
Add, exports echo signal；
Tap update module, for updating tap intersection；
Multiple timers, for correcting timing, the filtered effective result of output.
Connect above-mentioned technical proposal, the Peak Search Method of host computer comprising steps of
Step1, initialization correction coefficient alpha and signal strength threshold T, when signal strength is more than threshold value T, by comparing anti-
The peak value for penetrating peak obtains the coordinate value of first reflection peak, saves the coordinate value and peak value；
Step2, using first peak position as benchmark, from reference coordinate Search Theory peak point coordinate backward；
Step3, the intensity that α point is respectively traversed from theoretical peak point coordinate or so, find practical grating peak and coordinate
And it saves；
Step4, judge whether practical grating peak is greater than T, if otherwise marking the practical grating peak, and be by correction
Number α+1；If so, and α > 1 then by α -1 come back to step Step2, using current peak position as benchmark, from reference coordinate
Next theoretical peak point coordinate is found backward.
Above-mentioned technical proposal is connect, the lower computer FPGA high speed acquisition device emits respective frequencies by way of timer
Electric impulse signal is modulated laser by pulse-modulator.
The beneficial effect comprise that:
1) by way of adding reference optical fiber, to reduce the interference of non-purpose signal, compared to conventional filter, the party
Formula more has universality, does not need the parameter for changing filter for different environmental disturbances；
(2) adaptive-filtering is realized by FPGA capture card, while high speed information acquisition, data is filtered
Processing is transmitted to host computer again, and data can be allowed to keep good real-time；
(3) pass through the peak-seeking algorithm of host computer, can effectively traverse non-critical equidistant raster coordinate and intensity
Out, it is compared to traditional approach, first is that a large amount of calculation resources are saved, second is that the grating mark that can there will be reflected intensity problem
Note, facilitates subsequent processing.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is acquisition system schematic diagram of the invention；
Fig. 2 (a) is Avaptive filtering system explanatory diagram of the invention；
Fig. 2 (b) is that the filter in Avaptive filtering system of the present invention constitutes schematic diagram；
Fig. 3 (a) is the FPGA pipeline model figure of Avaptive filtering system of the present invention；
Fig. 3 (b) is the tap update module FPGA pipeline model figure in Avaptive filtering system of the present invention；
Fig. 4 is the result that adaptive-filtering handles optical grating reflection waveform；
Fig. 5 (a) is theoretical grating fibers compared with practical grating fibers；
Fig. 5 (b) is the correction schematic diagram of peak-seeking algorithm；
Fig. 6 is the peak-seeking algorithm flow chart in the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.
As shown in Figure 1, acquisition system of the invention mainly includes preposition optical path, slave computer (FPGA module), host computer, lead to
It crosses host computer and issues acquisition instructions, lower computer FPGA will emit the electric impulse signal pair of respective frequencies by way of timer
Laser is modulated (usually by EOM as modulation medium), and the light pulse generated at this time is classified into two beams by 1x2 coupler
Relevant light pulse enters grating fibers and common blank optical fiber by circulator respectively, the reflection signal of the two can respectively by
In photodetector feedback to FPGA capture card.Wherein, front end circuit includes sequentially connected laser, Erbium-doped fiber amplifier
Device, coupler, two output ends of the coupler are separately connected circulator 1a and circulator 2a, and dim light is carved in circulator 1a connection
The optical fiber of grid array, circulator 2a connection blank optical fiber.Grating fibers and common blank optical fiber can be merged by way of simultaneously band
Together, in order to guarantee the consistent of local environment variable.
Wherein, the obtained signal of photodetector 1b is obtained by fiber medium and optical grating reflection, scattering, photoelectricity
The obtained signal of detector 2b is only obtained by fiber medium reflection, scattering.
Assuming that the frequency of electric impulse signal is 10kHz, then it is from transmitting light pulse to the maximum time for receiving signal
0.1ms, the longest distance that corresponding light pulse can reach are 10km.I.e. the system can be obtained by most within the time of 1ms
The signal that the optical fiber of long 10km is fed back, performs corresponding processing for subsequent module.
It will be passed to the A/D conversion and transmitting that FPGA capture card carries out data, the present invention by the signal of photodetector
Pretreatment system in adaptive-filtering module be also to be completed in FPGA.
Sef-adapting filter refers to the change according to environment, changes the parameter and structure of filter using adaptive algorithm
Filter.For other filters, sef-adapting filter is more suitable for the complex changeable sensor-based system of parameter.
The signal returned from optical grating reflection is a series of inevitable since the influence of ambient noise, light path impact, relaying algorithm can generate
Interference signal be entrained in required in reflection intensity signal, and sef-adapting filter can then automatically track input signal when
Change feature carrys out iteration and corrects the filter model coefficients of itself to obtain expected response.
Fig. 2 (a) is Avaptive filtering system in general sense, and wherein signal s (k) is from fiber grating, noise n1
(k) all kinds of crosstalks in grating fibers and optical path noise, n2(k) crosstalk signal of blank optical fiber is then come from.Fig. 2
(a) in, o (k) indicates the superposition of the signal and optical fiber itself reflection signal of fiber grating reflection, o (k)=s (k)+n1(k)。y
(k)=wT(k)n2(k), reference noise n is indicated2(k) output of the output after wave filter h (k), entire filtering system is
It is obtained by o (k)-y (k).Wherein s (k) and n1(k)、n2It (k) is incoherent, and since two paths of signals is from relevant
Light, and reflected optical path condition, circuit transmission condition are substantially coincident, therefore noise n1(k) and n2(k) from source
For be relevant.And for the noise with correlation, it can be inhibited even to filter out by LMS algorithm.
Fig. 2 (b) is the composition schematic diagram of M rank sef-adapting filter h (k), and the present embodiment will specifically be explained by taking 8 levels system as an example
It states.
If 8 rank sef-adapting filter input noise vectors
n2(k)=[n2(k),n2(k-1),…,n2(k-7)]T
Tap intersection is
W (k)=[w0(k),w1(k),…,w7(k)]T
Then according to the correlation formula of basic LMS algorithm, available output
Z (k)=o (k)-y (k)=o (k)-wT(k)n2(k)
Then tap intersection will be updated once one data of every output
W (k+1)=w (k)+a0n2(k)z(k)
Tap intersection is updated according to the waveform of output, is allowed to change filter parameter with the transformation of external signal, reach
More preferably performance realizes adaptive-filtering.Wherein, tap intersection refers to the coefficient intersection of the filter, and 8 rank filters just have
8 coefficients, i.e. 8 taps.This intersection is used for trap signal, and filtered signal can also feed back to this filtering in turn
Device allows the tap intersection clock of filter to be in variation.a0It is the ginseng for being related to LMS algorithm convergence rate and restraining effect
Amount, is generally adjusted according to actual needs.It is subsequent for convenience in this example to carry out displacement multiplication, which is set to 2-10, i.e., with
When parameter is multiplied, only needed in FPGA by former numerical value right shift.
The structure realization of LMS sef-adapting filter can be very easily complete by the sequence circuit and the pipeline design of FPGA
At.It is understood that sef-adapting filter can also be completed by RLS algorithm and various innovatory algorithms, but common
LMS algorithm robustness is sufficiently strong, and structure is simple, and unique the disadvantage is that convergence rate is slower, this point is in capture card speed
Spend it is sufficiently fast, will not be apparent when data are enough.
Fig. 3 (a) realizes system with 8 rank assembly lines to be illustrated.Internal long combination of paths is patrolled by 8 rank assembly lines
The little module for being divided into multiple clocks processing is collected, the speed of processing is improved with this.
System is initialized first, and giving all initial values is 0, defeated from blank optical fiber then after system trigger acquisition
The signal entered will be with clock clk2 (for 1/8th of internal clocking clk1) update of constantly handling up, tap intersection w (k)
It will be changed with clk2 by update module.The two with internal clocking clk1 all will by data selector to multiplier according to
Secondary transmitting data, are just struck against the rising edge of clk2 after 8 data were all transmitted once, and two register groups will do it one
Secondary update；
The value of multiplier output will be passed to accumulator, since the clock of accumulator is similarly clk1, but it is additional fixed
When device will be according to module time delay, every finish one group of data processing will reset primary, and reset value is o (k).O (k) will with it is cumulative
Subtract each other to be transmitted to next register i.e. z (k) with aggregate-value in device；
Fig. 3 (b) is the update module of tap intersection w (k), and the z (k) in register first will be with 8 numbers in w (k)
According to that will be multiplied in 8 multipliers respectively, coefficient a is then realized by shift register0Multiplication, finally again by eight plus
Musical instruments used in a Buddhist or Taoist mass obtains w (k+1) Lai Gengxin tap intersection.
Every data for uploading a period of time can be obtained one and tend to convergent tap set w, by this set and before this
Optimal filtering signal can be obtained in host computer multiplication in the historical signal for being transmitted to host computer；
Referring to fig. 4, the noise that optical grating reflection signal can be suppressed well by adaptive-filtering, be subsequent peak-seeking or
The modulation /demodulation for doing other signals provides convenience；
As shown in Fig. 5 (a), theoretically the grating of constant duration is not consistent with the grating actually inscribed out, then
In addition receiving signal drift caused by various interference in signal transduction process, need to obtain these coordinates by peak-seeking algorithm
With the uncertain optical grating reflection peak of intensity.
It will illustrate each step of peak-seeking algorithm by taking Fig. 5 (b) as an example below:
On the basis of 200M acquisition rate, then theoretically the grating of 5m spacing, the distance between peak point should be 10
Sampled point, actual sampled point spacing are then between 9 to 11；
It is 1 the method includes: firstly, initializing correction coefficient alpha, it is available by reference to channel (i.e. blank fiber reflection signal)
Certain threshold value T (changing depending on actual needs) is arranged, when signal strength is more than threshold value in the baseline value size for reflecting signal
It waits, (is practically used for the pulse width of test generally in 40ns hereinafter, obtained optical grating reflection by comparing in 5 sampled points
On signal peak common sampled point only have 8 or hereinafter, and peak point in intermediate section, preceding 5 points have contained in most
Between peak point.) most value the coordinate value of first reflection peak (being set as FPG1) can be obtained, it is automatic by the control of host computer
The document storing coordinate and peak value is written, and using the coordinate as reference coordinate.
From reference coordinate x, the signal of the 10th point is found backward, is herein theoretical peak point coordinate x+10 and FBG2
Theoretical position；
From the intensity of the α point of each traversal of left and right from coordinate x+10, taking peak point coordinate y is coordinate where practical FBG, upper
Machine automatically saves coordinate y and peak value Vpp；
With coordinate y for new reference coordinate x；
Check whether the peak value Vpp of coordinate y is greater than T, if otherwise marking the peak value Vpp recorded, and by correction coefficient alpha
+1；And if if α > 1, then α -1；In practical applications, the slight error and light source pulse of grating inscription point is unstable
The peak point that will lead to optical grating reflection signal generates indefinite offset, the usual grating peak coordinate meeting under the sampling rate of 200M
One point of left and right offset, therefore initializing correction coefficient alpha is 1；During the peak-seeking of subsequent grating array, when there is individual gratings
Because intensity too it is low cause peak-seeking algorithm towards mistake correction for direction, then next time peak-seeking when need correct back to come model
Enclosing need to further increase, therefore need to enable correction coefficient alpha+1 when the Vpp for detecting peak point is less than threshold value T；When being greater than
α -1 no longer reduces when α=1 when threshold value T.
Repeating above procedure can be completed peak-seeking, and Fig. 6 is the flow chart of above-mentioned steps.The algorithm is very easy, can pass through
C, the host computers common software such as C++, Labview is completed.
It is that will affect sentencing for peak point because part grating intensity is too low why correction coefficient alpha needs, which are modified,
Disconnected, i.e., amendment peak point may be toward the adjustment in direction deviateed, it is therefore desirable to increase modified degree when amendment next time.
So far, this system can be obtained filtered optical grating reflection peak data and demodulate for subsequent signal.
To sum up, the present invention mainly has the advantage that 1) by way of adding reference optical fiber, to reduce non-purpose signal
Interference, compared to conventional filter, which more has universality, does not need to change filter for different environmental disturbances
Parameter；(2) adaptive-filtering is realized by FPGA capture card, while high speed information acquisition, place is filtered to data
Reason is transmitted to host computer again, and data can be allowed to keep good real-time；(3) pass through the peak-seeking algorithm of host computer, Neng Gouyou
Non-critical equidistant raster coordinate and intensity are traversed out by effect ground, traditional approach are compared to, first is that saving a large amount of fortune
Resource is calculated, second is that the grating marker for having reflected intensity problem can be facilitated subsequent processing.
It should be understood that for those of ordinary skills, it can be modified or changed according to the above description,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (5)
1. one kind is based on dim light grid array distributed sensing pretreatment system characterized by comprising
Front end circuit, including sequentially connected laser, erbium-doped fiber amplifier, coupler, two output ends of the coupler
It is separately connected first annular device and the second circulator, the optical fiber of dim light grid array is carved in the first annular device connection, and described the
Second ring device connects blank optical fiber；
Lower computer FPGA high speed acquisition device is connect by pulse-modulator with the laser, and passes through the first photodetector
It connects with the first annular device, is connected by the second photodetector with second circulator；Lower computer FPGA high speed
Collector includes sef-adapting filter, which is reflected back according in the optical fiber and blank optical fiber from dim light grid array
The signal come offsets, and eliminates noise；
Host computer is communicated to connect with lower computer FPGA high speed acquisition device, is sent control instruction and is given lower computer FPGA high speed acquisition device；
And peak-seeking is carried out to the signal that lower computer FPGA high speed acquisition device uploads, store all peak value and respective coordinates.
2. it is according to claim 1 be based on dim light grid array distributed sensing pretreatment system, which is characterized in that it is described from
Adaptive filter is LMS sef-adapting filter.
3. it is according to claim 2 be based on dim light grid array distributed sensing pretreatment system, which is characterized in that it is described from
Adaptive filter includes:
Input signal register, for transmitting and storing the crosstalk signal of blank optical fiber；
Tap intersection register, for transmitting and storing the tap intersection of each coefficient of filter；
Data selector, signal and filter coefficient for selecting corresponding lower computer FPGA high speed acquisition device acquisition enter multiplication
Device；
Multiplication module, for carrying out the signal of corresponding lower computer FPGA high speed acquisition device acquisition and the product fortune of filter coefficient
It calculates, and the value of product is transmitted to accumulator module；
Accumulator module, the value for exporting multiplication module every time are saved and are added up, then are added with grating fibers signal, defeated
Echo signal out；
Tap update module, for updating tap intersection；
Multiple timers, for correcting timing, the filtered effective result of output.
4. according to claim 1 be based on dim light grid array distributed sensing pretreatment system, which is characterized in that host computer
Peak Search Method comprising steps of
Step1, initialization correction coefficient alpha and signal strength threshold T, when signal strength is more than threshold value T, by comparing reflection peak
Peak value obtain the coordinate value of first reflection peak, save the coordinate value and peak value；
Step2, using first peak position as benchmark, from reference coordinate Search Theory peak point coordinate backward；
Step3, the intensity that α point is respectively traversed from theoretical peak point coordinate or so, find practical grating peak and coordinate and protect
It deposits；
Step4, judge whether practical grating peak is greater than T, if otherwise the practical grating peak is marked, and by correction coefficient alpha+
1；If so, and α > 1 then by α -1 come back to step Step2, using current peak position as benchmark, backward from reference coordinate
Find next theoretical peak point coordinate.
5. according to claim 1 be based on dim light grid array distributed sensing pretreatment system, which is characterized in that under described
The electric impulse signal that position machine FPGA high speed acquisition device emits respective frequencies by way of timer passes through pulse-modulator to sharp
Light device is modulated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910585836.5A CN110361037B (en) | 2019-07-01 | 2019-07-01 | Distributed sensing preprocessing system based on weak grating array and peak searching method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910585836.5A CN110361037B (en) | 2019-07-01 | 2019-07-01 | Distributed sensing preprocessing system based on weak grating array and peak searching method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110361037A true CN110361037A (en) | 2019-10-22 |
| CN110361037B CN110361037B (en) | 2021-11-23 |
Family
ID=68217866
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910585836.5A Active CN110361037B (en) | 2019-07-01 | 2019-07-01 | Distributed sensing preprocessing system based on weak grating array and peak searching method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110361037B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111397542A (en) * | 2020-03-09 | 2020-07-10 | 天地科技股份有限公司 | System and method for monitoring straightness of scraper conveyor based on weak reflection grating |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102914321A (en) * | 2012-10-15 | 2013-02-06 | 武汉理工大学 | Ultra-low fiber bragg grating sensing system and query method thereof |
| CN102997949A (en) * | 2012-12-18 | 2013-03-27 | 华北电力大学（保定） | Method used for measuring temperature and strain simultaneously and based on brillouin scattering |
| CN203617974U (en) * | 2013-10-21 | 2014-05-28 | 京微雅格（北京）科技有限公司 | Configurable coefficient filter and electronic device based on FPGA |
| WO2017026896A1 (en) * | 2015-08-11 | 2017-02-16 | Optics11 | Optical fiber-based sensor system |
| CN106643837A (en) * | 2016-10-19 | 2017-05-10 | 武汉理工大学 | Bragg fiber grating array demodulation apparatus and method based on non-coherent frequency domain reflection |
| CN106840221A (en) * | 2017-01-06 | 2017-06-13 | 武汉理工大学 | Fiber grating demodulation device and method based on dispersion Mach Zehnder interferometry |
| CN107490397A (en) * | 2016-09-14 | 2017-12-19 | 北京卫星环境工程研究所 | High-accuracy self-adaptation filters the quick Peak Search Method of FBG spectrum |
| CN108225541A (en) * | 2017-12-29 | 2018-06-29 | 鞍山睿科光电技术有限公司 | The distributed fiberoptic sensor and foreign body intrusion signal for identifying foreign body intrusion perceive processing method |
| CN108603773A (en) * | 2015-11-06 | 2018-09-28 | 费布斯光学公司 | Photoelectricity distributed measurement device based on Brillouin scattering |
-
2019
- 2019-07-01 CN CN201910585836.5A patent/CN110361037B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102914321A (en) * | 2012-10-15 | 2013-02-06 | 武汉理工大学 | Ultra-low fiber bragg grating sensing system and query method thereof |
| CN102997949A (en) * | 2012-12-18 | 2013-03-27 | 华北电力大学（保定） | Method used for measuring temperature and strain simultaneously and based on brillouin scattering |
| CN203617974U (en) * | 2013-10-21 | 2014-05-28 | 京微雅格（北京）科技有限公司 | Configurable coefficient filter and electronic device based on FPGA |
| WO2017026896A1 (en) * | 2015-08-11 | 2017-02-16 | Optics11 | Optical fiber-based sensor system |
| CN108603773A (en) * | 2015-11-06 | 2018-09-28 | 费布斯光学公司 | Photoelectricity distributed measurement device based on Brillouin scattering |
| CN107490397A (en) * | 2016-09-14 | 2017-12-19 | 北京卫星环境工程研究所 | High-accuracy self-adaptation filters the quick Peak Search Method of FBG spectrum |
| CN106643837A (en) * | 2016-10-19 | 2017-05-10 | 武汉理工大学 | Bragg fiber grating array demodulation apparatus and method based on non-coherent frequency domain reflection |
| CN106840221A (en) * | 2017-01-06 | 2017-06-13 | 武汉理工大学 | Fiber grating demodulation device and method based on dispersion Mach Zehnder interferometry |
| CN108225541A (en) * | 2017-12-29 | 2018-06-29 | 鞍山睿科光电技术有限公司 | The distributed fiberoptic sensor and foreign body intrusion signal for identifying foreign body intrusion perceive processing method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111397542A (en) * | 2020-03-09 | 2020-07-10 | 天地科技股份有限公司 | System and method for monitoring straightness of scraper conveyor based on weak reflection grating |
| CN111397542B (en) * | 2020-03-09 | 2021-07-06 | 天地科技股份有限公司 | System and method for monitoring straightness of scraper conveyor based on weak reflection grating |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110361037B (en) | 2021-11-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106054204A (en) | Long distance and high accuracy oriented compound laser range finding method and system | |
| JP6927172B2 (en) | Optical fiber loss measuring device and optical fiber loss measuring method | |
| JPH06507028A (en) | Programmable fiber optic delay line and radar target simulation system including it | |
| US11111780B2 (en) | Distributed acoustic sensing system with phase modulator for mitigating faded channels | |
| CN105953822A (en) | Pulsed based sensing | |
| CN110361037A (en) | Based on dim light grid array distributed sensing pretreatment system and Peak Search Method | |
| CN103576162A (en) | Laser radar device and method for measuring target object distance through device | |
| Xue et al. | Full-waveform inversion using smoothing kernels | |
| CN105490805A (en) | System and method for reducing QKD (quantum key distribution) system bit error rate based on extended Kalman filter | |
| CN103995468A (en) | Polarization control method, based on genetic algorithm, of optical fiber disturbance system and device thereof | |
| CN107831486B (en) | A kind of laser guidance anti-interference processing method | |
| CN107092015A (en) | A kind of filtering method of laser radar echo signal speckle noise | |
| CN110082068A (en) | A kind of optic fiber grating wavelength demodulating system and method with wavelength debugging functions | |
| CN104614732A (en) | Chaotic light ranging technology based anti-collision signal processing system and method | |
| CN109709571A (en) | TOF measurement method and apparatus | |
| CN109407514A (en) | The device and method of φ-OTDR system parameter can be automatically adjusted | |
| CN109506683A (en) | A kind of FBG Fibre Optical Sensor demodulating system towards marine environmental monitoring | |
| CN116953631A (en) | Full-polarization radar emission waveform optimization method, computer device and storage medium | |
| WO2019218166A1 (en) | Method and apparatus for controlling bias current of laser | |
| US4705397A (en) | Laser pulse train jitter measuring device | |
| CN115855118A (en) | Method and device for improving scale factor stability of fiber-optic gyroscope | |
| CN103856266A (en) | Optical correlator based on modal dispersion | |
| Li et al. | Improved simulation accuracy of the split-step Fourier method | |
| CN205091464U (en) | Signal processing system based on FPGA laser velocimeter | |
| Moslehi et al. | Efficient fiber-optic structure with applications to sensor arrays |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |